Abstract
It is important for electronic commerce companies to understand the service quality of their systems, such as, the response time for users’ interactions, the service delay zone and the number of appropriate users accessing the systems concurrently. The accurate and prompt management of the service quality can greatly help build and operate systems more efficiently. In this paper we present a methodology for the service quality measurement and the user capacity modeling for electronic commerce systems. While most previous researches on this issue have been based on the closed-LAN environment, we conduct experiments under real network environment using sample e-Commerce systems. Specifically, we measure the response times for e-Commerce transactions under Cable, DSL, and wireless networks, and analyze the delay zones in processing the users’ service requests. The discrete event simulation and hybrid simulation are performed to estimate the maximum number of users using a response time limit as the service quality criterion. We also investigate the self-similar characteristics on the response time and the number of users, and the extensive results of the experiment and the simulations are described.
Highlights
Since 1990s Internet e-business services have advanced and spread out tremendously
We analyze the maximum capacity of concurrent users from the source to the destination by performing various experiments on client response time using discrete event and hybrid simulations
The contribution of this research includes: firstly, we describe detailed methodology and procedure to measure Quality of Service (QoS) and to identify service delay zones for electronic commerce systems; secondly, we show how to analyze the impact of the number of users upon the service quality so as to provide services adaptively; the paper contains various experiment results conducted under real network environment for sample e-Commerce systems
Summary
Since 1990s Internet e-business services have advanced and spread out tremendously. In these past years ebusiness solutions for enterprises have made rapid strides along with the growth of the Internet, and e-business computer systems have been upgraded or replaced with new systems in very short life cycles. We analyze the maximum capacity of concurrent users from the source to the destination by performing various experiments on client response time using discrete event and hybrid simulations. This analysis is based on the actual measurement under end-to-end high-speed Internet service. The contribution of this research includes: firstly, we describe detailed methodology and procedure to measure QoS and to identify service delay zones for electronic commerce systems; secondly, we show how to analyze the impact of the number of users upon the service quality so as to provide services adaptively; the paper contains various experiment results conducted under real network environment for sample e-Commerce systems.
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